The influence of human factors on user's preferences of web-based applications: A data mining approach [PDF]
, 2010 This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University on 20/12/2010.As the Web is fast becoming an integral feature in many of our daily lives, designers are faced with the challenge of designing Web-based ...
Clewley, Natalie Christine
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Data mining for the analysis of content interaction in web-based learning and training systems [PDF]
, 2006 Data mining is based on the detection and extraction of knowledge from a database. Web usage mining is a special form of data mining to address behaviour in Web sites.
Pahl, Claus
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Mining Semantic Knowledge Graphs to Add Explainability to Black Box Recommender Systems
IEEE Access, 2019 Recommender systems are being increasingly used to predict the preferences of users on online platforms and recommend relevant options that help them cope with information overload.
Mohammed Alshammari +2 more
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An average linear time algorithm for web data mining [PDF]
, 2004 In this paper, we study the complexity of a data mining algorithm for extracting patterns from user web navigation data that was proposed in previous work.3 The user web navigation sessions are inferred from log data and modeled as a Markov chain.
Mark Levene +4 more
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Users’ recognition in web using web mining techniques [PDF]
Management Science Letters, 2013 The rapid growth of the web and the lack of structure or an integrated schema create various issues to access the information for users. All users’ access on web information are saved in the related server log files. The circumstance of using these files
Hamed Ghazanfaripoor +2 more
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Multiview Actionable Knowledge Graph Generation From Wikipedia Biographies
IEEE Access, 2022 Actionable knowledge graph (AKG), a specialized version of knowledge graph, was proposed recently to represent, analyze, and predict human action, thus facilitating deeper understanding of human action by robots.
Yijun Duan +7 more
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Web page classification with an ant colony algorithm [PDF]
, 2004 This paper utilizes Ant-Miner - the first Ant Colony algorithm for discovering classification rules - in the field of web content mining, and shows that it is more effective than C5.0 in two sets of BBC and Yahoo web pages used in our experiments.
Holden, Nicholas +3 more
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Visibility estimation via deep label distribution learning in cloud environment
Journal of Cloud Computing: Advances, Systems and Applications, 2021 The visibility estimation of the environment has great research and application value in the fields of production. To estimate the visibility, we can utilize the camera to obtain some images as evidence.
Mofei Song +3 more
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Web Usage Mining with Evolutionary Extraction of Temporal Fuzzy Association Rules [PDF]
, 2013 In Web usage mining, fuzzy association rules that have a temporal property can provide useful knowledge about when associations occur. However, there is a problem with traditional temporal fuzzy association rule mining algorithms. Some rules occur at the
Gongora, Mario A. +5 more
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Exploiting Stacked Autoencoders for Improved Sentiment Analysis
Applied Sciences, 2022 Sentiment analysis is an ongoing research field within the discipline of data mining. The majority of academics employ deep learning models for sentiment analysis due to their ability to self-learn and process vast amounts of data.
Kanwal Ahmed +6 more
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